Apparatus, system, and method for non-convex prior image constrained compressed sensing
AssigneeMayo Foundation for Medical Education and Research
InventorsJuan Carlos Ramirez Giraldo, Joshua Trzasko, Shuai Leng, Armando Manduca, Cynthia H. McCollough
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Abstract
Methods, systems, and apparatuses for non-convex prior image constrained compressed sensing are disclosed. In one embodiment, a method is provided for iterative image reconstruction for medical imaging applications which employ a prior image to constrain the reconstruction process allowing the use of fewer high SNR samples or complete but lower SNR samples. The objective function made use of non-convex compressed sensing methods during the iterative reconstruction process. Applications include, but are not limited to radiation dose reduction and fast image acquisition.
Claims33
A method comprising:
- receiving a plurality of image datasets, each image dataset acquired at one of a plurality of time points, from an image acquisition device;
- storing the plurality of image datasets in a data storage device;
- selecting a first dataset corresponding to a first time point;
- selecting a first group of datasets corresponding to a range of time points that includes the first time point;
- and
- generating, using a data processor, an output image corresponding to the first time point according to a non-convex prior image constrained compressed sensing algorithm performed on the first data using information from the first group of datasets;
- where the algorithm minimizes a non-convex objective function using non-convex priors lp-functional in which 0<p<1.
A tangible computer program product comprising a computer readable medium having computer usable program code, that when executed by a computer, cause the computer to perform operations comprising:
- receiving a plurality of image datasets, each image dataset acquired at one of a plurality of time points;
- storing the plurality of image datasets;
- selecting a first dataset corresponding to a first time point;
- selecting a first group of datasets corresponding to a range of time points that includes the first time point;
- and
- generating an output image corresponding to the first time point according to a non-convex prior image constrained compressed sensing algorithm performed on the first data using information from the first group of datasets;
- where the algorithm minimizes a non-convex objective function using non-convex priors lp-functional in which 0<p<1.
A system comprising:
- an image acquisition device configured to acquire a plurality of image datasets, each image dataset acquired at one of a plurality of time points;
- a data storage device configured to store the plurality of image datasets;
- and
- a data processing device coupled to the image acquisition device and the data storage device, the data processing device comprising:
- an input adapter configured to receive the plurality of image datasets;
- and
- a processor, coupled to the input adapter, configured to:
- select a first dataset corresponding to a first time point;
- select a first group of datasets corresponding to a range of time points that includes the first time point;
- and
- generate an output image corresponding to the first time point according to a non-convex prior image constrained compressed sensing algorithm performed on the first data using information from the first group of datasets;
- where the algorithm is configured to minimize a non-convex objective function using non-convex priors lp-functional in which 0<p<1.
An apparatus comprising:
- an input adapter configured to receive a plurality of image datasets, each image dataset acquired at one of a plurality of time points by an image acquisition device;
- a memory device, coupled to the input adapter, configured to store the plurality of image datasets;
- and
- a processor, coupled to the memory, configured to:
- select a first dataset corresponding to a first time point;
- select a first group of datasets corresponding to a range of time points that includes the first time point;
- and
- generate an output image corresponding to the first time point according to a non-convex prior image constrained compressed sensing algorithm performed on the first data using information from the first group of datasets;
- where the algorithm is configured to minimize a non-convex objective function using non-convex priors lp-functional in which 0<p<1.
Dependencies are inferred from the claim text.